Future Trends and Perspectives of Quantitative Clinical Proteomics
Main Article Content
Abstract
ABSTRACT
Protein quantitation is an important clinical parameter for diagnosis, prognosis, and treatment monitoring such as drug response. In the past the assays were done mostly using antibody-based immunoassays such as radio-immunoassay (RIA) assays or enzyme-linked immunosorbent assay (ELISA). As novel changes that locate beyond the epitopes regions recognized by the antibody render the immunoassays non useful, detection methods that can sense chemical structural changes becomes desirable. Mass spectrometry offers speed, versatility, and sensitivity for the assay without the needs of a priori knowledge of the target molecules. The instrument can measure thousands of proteins (proteomics) simultaneously without losing the sensitivity. Specific novel mass spectra denote specific novel modifications on the target molecules. The report reviews quantitative proteomics using mass spectrometry with emphasis on biomarkers for diagnostics; biological fluids proteomics, tagging functional groups of proteins and eventually non-tagging quantitative proteomics which can offer great potential for emerging biomedical advanced technologies for better management of diseases.
Article Details
How to Cite
MUNOZ, San Juanita; LUI, Lokai Miranda; EASTWOOD LEUNG, Hon-chiu.
Future Trends and Perspectives of Quantitative Clinical Proteomics.
Medical Research Archives, [S.l.], n. 3, june 2015.
ISSN 2375-1924.
Available at: <https://esmed.org/MRA/mra/article/view/93>. Date accessed: 15 nov. 2024.
Keywords
immunoassays; biomarkers; mass spectrometry; quantitative proteomics
Issue
Section
Review Articles
The Medical Research Archives grants authors the right to publish and reproduce the unrevised contribution in whole or in part at any time and in any form for any scholarly non-commercial purpose with the condition that all publications of the contribution include a full citation to the journal as published by the Medical Research Archives.
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Mann, M. (2006). "Functional and quantitative proteomics using SILAC." Nat Rev Mol Cell Biol 7(12): 952-958.
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